*args – list of x-inputs and, optionally, one y-input (the last one) to fit on.
Possible input (x0, …, xK, y) or (x0, …, xK) ‘
where K is the number of input data elements (the length of list in from config). In case of several inputs (K > 1) input features will be stacked. For example, one has x0: (n_samples, n_features0), …, xK: (n_samples, n_featuresK), then model will be trained on x: (n_samples, n_features0 + … + n_featuresK).

Initialize self.model as some sklearn model from saved re-initializing self.model_params parameters. If in new given parameters warm_start is set to True and given model admits warm_start parameter, model will be initilized from saved with opportunity to continue fitting.